A tiny, `subprocess`-based tool for reading a
[MS Access](https://products.office.com/en-us/access)
database (`.rdb`) as a [Pandas](http://pandas.pydata.org/)
[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).
## Installation
To read the database, this package (thinly!) wraps
[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already
using Pandas, it should be your only installation requirement.
If you are on `OSX`, install it via [Homebrew](http://brew.sh/):
```sh
$ brew install mdbtools
```
Then, do,
```sh
$ pip install pandas_access
```
## Usage
```python
import pandas_access as mdb
# Listing the tables.
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a small table.
df = pandas_access.read_table("my.mdb", "MyTable")
# Read a huge table.
accumulator = []
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
accumulator.append(f(chunk))
```
If you need more power than this, see:
[pyodbc](https://github.com/mkleehammer/pyodbc).
## Testing
I needed this code in a quick pinch -- I had no access to MS Access, and I had
a single `.mdb` file. If someone with Access would like to create a tiny
database for unit-testing purposes, I'd be much obliged.
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Release files for pandas_access 0.0.1
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